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Using sensor-fusion and machine-learning algorithms to assess acute pain in non-verbal infants: a study protocol.

Jean-Michel Roué1, Iris Morag2, Wassim M Haddad3

  • 1Neonatal & Pediatric Intensive Care Unit, Brest University Hospital, University of Western Brittany, Brest, France jean-michel.roue@chu-brest.fr.

BMJ Open
|January 7, 2021
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Summary

Accurately assessing infant pain is challenging. This study explores a new multimodal approach using sensors and machine learning for objective, continuous pain monitoring in newborns and infants.

Keywords:
neonatologypaediatricspain management

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Area of Science:

  • Biomedical Engineering
  • Neonatal Medicine
  • Pain Management

Background:

  • Objective pain assessment in non-verbal infants is difficult, relying on subjective measures.
  • Pain in newborns can lead to long-term behavioral and cognitive issues.
  • Current pain assessments are labor-intensive and observer-dependent.

Purpose of the Study:

  • To develop and evaluate a multimodal pain assessment approach for non-verbal infants.
  • To enable objective, patient-centered, and context-dependent pain measurement.
  • To potentially allow for continuous pain monitoring in clinical settings.

Main Methods:

  • Utilizing facial electromyography, ECG, electrodermal activity, oxygen saturation, and electroencephalography.
  • Employing sensor-fusion and machine-learning algorithms for data analysis.
  • Conducting a prospective observational study in 60 preterm and term newborns/infants.

Main Results:

  • The multimodal approach has the potential to improve pain assessment accuracy.
  • This method may offer continuous pain monitoring capabilities.
  • Feasibility will be assessed in a study of infants up to 6 months old.

Conclusions:

  • A multimodal, sensor-based approach offers a promising avenue for objective infant pain assessment.
  • Further validation and refinement are planned to optimize sensor requirements.
  • This technology could significantly advance neonatal and infant pain management.